Great Social Content — Consistent with other areas of online marketing, content reigns supreme when it comes to social media marketing. Make sure you post regularly and offer truly valuable information that your ideal customers will find helpful and interesting. The content that you share on your social networks can include social media images, videos, infographics, how-to guides and more.
Gone are the days when social media marketing was all about increasing your followers. An early sign of success was seeing your followers grow from one day to another. Nowadays, social media marketing has left behind the ages of innocence to go through a more mature phase. This should not be a bad change, but we still need to keep up with the shift.
Social Searcher / Socialbuzz is a real-time search engine for Facebook, Twitter and Google+. It is designed to provide a different kind of user experience for curious users and deep analytics for the marketing professionals, such as: posts types, top links/domains, keywords, sentiment, top users and posts. Also the service has a quick possibility to change your search locale, filter search results by content type and popularity.
DiscoverText (https://discovertext.com) is very useful for anyone interested in text data science/data mining/social media monitoring. It has dozens of powerful text analytics, data science, human coding, and machine-learning features, including instant access to the Gnip PowerTrack 2.0 for Twitter, historical Twitter, and the free Twitter Search API, DiscoverText provides cloud-based software tools to quickly evaluate large amounts of text, survey, and Twitter data. DiscoverText is much better than a spreadsheet, and no programming skills are required; all just point and click.
Explore your Twitter network. Discover which people interact the most and what they’re talking about. It’s also a great way to find relevant people to follow. The visualization runs right in your browser and displays data from Twitter. Mentionmap loads user’s tweets and finds the people and hashtags they talked about the most. In this data visualization, mentions become connections and discussions between multiple users emerge as clusters.